Semantic stratification organizes documents into entity-based clusters to systematically generate queries for missing strata, yielding formal coverage guarantees and interpretable failure mode visibility in retrieval evaluation.
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RCL adds similarity-based weak positive samples to supervised contrastive learning in sequential recommendation and reports an average 4.88% improvement over state-of-the-art methods across six datasets.
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Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
Semantic stratification organizes documents into entity-based clusters to systematically generate queries for missing strata, yielding formal coverage guarantees and interpretable failure mode visibility in retrieval evaluation.
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Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
RCL adds similarity-based weak positive samples to supervised contrastive learning in sequential recommendation and reports an average 4.88% improvement over state-of-the-art methods across six datasets.